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Data Visualization Capstone
  • Level Foundation
  • المدة 22 ساعات hours
  • الطبع بواسطة Johns Hopkins University
  • Offered by

عن

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance. This is the final course in the Specialization "Data Visualization and Dashboarding in R." Learners in this course will enter with a well-developed set of skills making a wide variety of visualizations in R. The focus on this course will applying those skills to a unique project, drawing on publicly available data to tell a compelling story using the data visualization toolkit assembled in the previous courses.

الوحدات

Project Overview and Locating Data

    • 2 Videos
    • 1 Readings
    • 1 PeerReview
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1 Peer Review

  • Project Proposal

2 Videos

  • Welcome to the Course and Project Overview
  • Project Overview and Tips for Locating Data

1 Readings

  • Many Data Sources

Data Import

    • 1 Videos
    • 2 Readings
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1 Videos

  • Data Import

2 Readings

  • R for Data Science, Data Import
  • Data Import Cheat Sheet

Best practices

    • 3 Videos
    • 7 Readings
    • 1 PeerReview
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1 Peer Review

  • Visualization Critique #1

3 Videos

  • Data Viz Pointers
  • Anscombe's Quartet and DatasauRus
  • More Best Practices and Readings Overview

7 Readings

  • R Graph Gallery
  • UC Berkeley Data Viz Guide
  • Duke University, Data Viz Guide
  • Healy, Chapter 1
  • Clause Wilke text, Chapters 4 and 5
  • EEA Guide
  • Junk Charts

Prepare Your Data

    • 1 Videos
    • 1 PeerReview
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1 Peer Review

  • Upload Your Data

1 Videos

  • Week 2 Overview

Strings

    • 1 Videos
    • 4 Readings
    • 1 Assignment
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1 Assignment

  • stringr quiz

1 Videos

  • Strings

4 Readings

  • stringr Cheat Sheet
  • Getting Started with stringr
  • R for Data Science, Strings
  • Peng, R Programming for Data Science, Regular Expressions

Working with Dates

    • 1 Videos
    • 3 Readings
    • 1 Assignment
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1 Assignment

  • lubridate quiz

1 Videos

  • Lubridate

3 Readings

  • R for Data Science, Ch. 16
  • Lubridate Cheat Sheet
  • Lubridate Reference, Intro

Factors

    • 1 Videos
    • 2 Readings
    • 1 Assignment
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1 Assignment

  • forcats quiz

1 Videos

  • Factors

2 Readings

  • R for Data Science, Factors
  • Introduction to forcats

Joins and Pivots

    • 1 Videos
    • 2 Readings
    • 1 Assignment
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1 Assignment

  • Tidying Data Quiz

1 Videos

  • Joins and Pivots

2 Readings

  • Relational Data
  • R for Data Science, Tidy Data

Final Critique and Report

    • 2 PeerReview
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2 Peer Review

  • Visualization Critique #2
  • Final Report

Auto Summary

The "Data Visualization Capstone" is an essential course for professionals working with quantitative data, focusing on mastering data visualization using R and the tidyverse packages. This final course in the "Data Visualization and Dashboarding in R" specialization allows learners to apply their skills to a unique project using public data. Offered by Coursera, the course is 1320 minutes long and available with a Starter subscription, targeting foundational-level learners in Data Science & AI.

Collin Paschall
Instructor

Collin Paschall